code: def _get_processing_outputs_with_all_parameters():
      return [
          ProcessingOutput(
              feature_store_output=FeatureStoreOutput(
                  feature_group_name="FeatureGroupName"
              ),
              app_managed=True,
          )
      ]
  
imports: from __future__ import absolute_import
  import os
  import pytest
  from botocore.config import Config
  from sagemaker import image_uris, Session
  from sagemaker.dataset_definition.inputs import DatasetDefinition, RedshiftDatasetDefinition, AthenaDatasetDefinition, S3Input
  from sagemaker.network import NetworkConfig
  from sagemaker.processing import ProcessingInput, ProcessingOutput, ScriptProcessor, Processor, ProcessingJob, FeatureStoreOutput
  from sagemaker.sklearn.processing import SKLearnProcessor
  from tests.integ import DATA_DIR
  from tests.integ.kms_utils import get_or_create_kms_key
label_desc: Use image node_id 17 for calling a global function with example usage: _get_processing_outputs_with_all_parameters() and returns: list